Phillip A. Hsieh

474 citations
16 papers · 339 indexed · h-index 8
Topics
Multiple Myeloma Research and Treatments (13 papers)CAR-T cell therapy research (7 papers)Protein Degradation and Inhibitors (5 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Phillip A. Hsieh

16 papers receiving 338 citations

Peers

Phillip A. Hsieh
Comparison fields: 5 of 33
  • Oncology 239
  • Hematology 211
  • Molecular Biology 154
  • Immunology 103
  • Radiology, Nuclear Medicine and Imaging 81
Replace Sabarinath Venniyil Radhakrishnan with:
Sabarinath Venniyil Radhakrishnan United States
Gabriel N. Waterman United States
Tengteng Yu China
Lauren Harvey United States
Alan Wilhelm United States
Camilia Soof United States
Suzie Vardanyan United States
Kristine A. Frerichs Netherlands
YT Tai United States
Dirk Hönemann Australia
Phillip A. Hsieh relative to Sabarinath Venniyil Radhakrishnan United States Sabarinath Venniyil Radhakrishnan's profile →
Citations per field
00.5×1.5×2.1×
Sabarinath Venniyil Radhakrishnan · 1×
Citations per year

Countries citing papers authored by Phillip A. Hsieh

Since Specialization
Citations

This map shows the geographic impact of Phillip A. Hsieh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Phillip A. Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip A. Hsieh more than expected).

Fields of papers citing papers by Phillip A. Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip A. Hsieh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Phillip A. Hsieh. The network helps show where Phillip A. Hsieh may publish in the future.

Co-authorship network of co-authors of Phillip A. Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip A. Hsieh. A scholar is included among the top collaborators of Phillip A. Hsieh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phillip A. Hsieh. Phillip A. Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 22
2 64
3 50
4 53
5 2
6 2
7 5
8 9
9 2
10 23
11 66
12 23
13 5
14 5
15 2
16 6

About Phillip A. Hsieh

Phillip A. Hsieh is a scholar working on Hematology, Immunology and Oncology, having authored 16 papers that have together received 339 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), CAR-T cell therapy research (7 papers) and Protein Degradation and Inhibitors (5 papers). The work is most often cited by research in Hematology (211 citations), Oncology (239 citations) and Immunology (103 citations). Phillip A. Hsieh has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Lijie Xing, Kenneth C. Anderson, Shih‐Feng Cho, Yu‐Tzu Tai, Kenneth Wen, Nikhil C. Munshi, Liang Lin, Tengteng Yu, Yuyin Li and Jiye Liu. Their work appears in journals such as Blood, Clinical Cancer Research and Leukemia.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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